telerion":3cp647i5 said:
hawk45":3cp647i5 said:
Doesn't make sense from a standpoint of self-interest either. The value of the money in a contract is quantifiable. The benefit to Russell of taking less money is speculative. The front office could piss the money away, or the front office personnel could change, Pete could leave for Texas tomorrow, etc. Not that folks don't make business decisions sometimes based on speculation, but based on speculation of future team performance in today's NFL?
It's not speculative. It's risky; and risk is justifiable if the expected return is sufficiently high. Yes, a front office could piss the savings away. It could just raise the salary of another player that would have been willing to sign for less. It could go to buying better players, but many of them get injured and hardly play. There are a lot of risks. Personally, I would get as much as I can now (especially since most NFL careers are short).
As far as studying some sort of correlation, what a waste of time and money that would be. Firstly you couldn't do it because you couldn't isolate hardly any of the infinite variables. Secondly if you could do it, its predictive value would be nil because it would basically say "if you don't have an awesome front office it doesn't matter one bit if you take a few less bucks, and even if you do have a great front office your team may suck, this is the NFL." That'd really help QBs make future decisions wouldn't it.
1) With sufficient data, you can approximate such a return. Scientists and mathematicians do so with harder problems everyday. Very unlikely that you could put tight errors on any estimate, but interesting exercise nonetheless. You might think it's a waste of time, but you know that's just like your opinion man.
2) Again it would have some predictive value because you could use it to calculate an expected return. Could you send a man to the moon with the accuracy? No. But the concerns you raise can (at least theoretically) be quantified in a model.
Finally even if a QB's agent never used such a calculation in practice it would still be an interesting research question. Basically, it's high stakes decision making in the face of uncertainty. Maybe not your favorite hobby (and that's okay), but hardly worthless. People get paid very good money to study problems like that.
Er...speculative is defined as: (of an investment) involving a high risk of loss. I'm not quite sure what you mean, then, by responding that "it's not speculative. It's risky."
My personal definition of a waste of time is, a study that (even if you could construct it) would not tell you much beyond what you already know.
Scientists and mathematicians can do things with relatively little data, but not when huge, all-determining variables such as does-a-bum-GM-get-hired can't be quantified, let alone locked down. State Estimation of electrical networks, for example, is all about making a good "guess" and assigning weights and probabilities, but electricity (and most things where scientists and mathematicians are involved) does at its base level follow a set of predictable rules. If we remove the words "scientists and mathematicians" and substitute "psychologists, sociologists, economists" then yes we may find some out-there studies. I am not disparaging those professions BTW, I am certain folks conducting studies within those context are painfully aware of the limitations when the variables get wacky.
And how are you ever going to find "sufficient data"? You can examine the history of teams since the start of football, but again, all of the variables (even huge external variables like the structure of the CBA) change from moment to moment, so in order to compare one single team to one single other team you would need so many fudge factors you're treading on useless right there. Now tack a big fat exponent on the impact of the fudge factors when you try and bring in the data from the rest of the teams across the rest of the years.
If you could construct the study, you'd attach a giant qualifier that its predictive value is rendered instantly worthless if the team has a bunch of suspensions, injuries, front office changes, any number of things that happen every year. So in other words, it has no predictive value that any player gambling millions of dollars would pay the slightest attention to.
You define interesting as: something that dudes talking in bar after 20 drinks think it would be neat to study.
I define interesting as: something that anyone on any planet would ever fund. Imagine your sales pitch for funding here.
When a proposed study amounts to having a crystal ball, it's beer-conversation. That's fine, and it's interesting beer-conversation, but that's all it is.
Dib is the resident expert on quantifying that which cannot be quantified, and I will bet that he could find a way to limit the study so that it would be both useful and possible. But a few words about not being able to tighten estimates seems insufficient in waving away the central issue hamstringing the whole enterprise.
Sorry for the tone, seriously, I will call myself an a-hole and save you the trouble. Obviously I was traumatized as a child by a study.
And welcome to the board!